Overview

Machine Learning Researcher role at Hlx Life Sciences.

Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies in London. We foster interdisciplinarity in state-of-the-art wet and dry laboratories and collaborate closely to redefine the boundaries of possibility in drug discovery.

Relation is an equal opportunities employer and does not discriminate on grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential.

The team you will join

The Turing team focuses on leveraging advanced ML approaches—LLMs, multi-agent reasoning systems, reinforcement learning, and modern representation learning—to transform how we understand biology and accelerate therapeutic discovery. We work across complex and incomplete heterogeneous data, designing agents and models that can reason, plan, and interface with experimental systems.

Your responsibilities

• Design and implement ML systems using LLMs, RL, and multi-agent reasoning for drug discovery applications.
• Develop scalable workflows that allow agents to interact with biological data and external tools, enabling decision-making and hypothesis generation at scale.
• Collaborate with interdisciplinary teams (wet lab scientists, data scientists, engineers) to translate ML solutions into actionable insights for target discovery and validation.
• Apply best practices in modern ML engineering, ensuring reproducibility, scalability, and maintainability.
• Contribute to the broader ML research community through publications, workshops, and open-source code contributions.

You have

• PhD or MSc with relevant industry experience in Computer Science, Machine Learning, or a related field (or equivalent industry experience).
• Hands-on experience with LLMs (training, fine-tuning, evaluation, or deployment).
• Familiarity with reinforcement learning (e.g. policy optimisation, RLHF, actor-critic).
• Exposure to multi-agent or agentic ML systems (decision-making agents, tool-using LLMs, orchestration frameworks).
• Proficiency in Python and ML frameworks such as PyTorch or JAX.
• Strong software engineering practices (version control, testing, modular code, cloud environments).

Bonus if you have

• Experience applying ML to biological or healthcare data.
• Evidence of creativity in combining methods across ML sub-fields (LLMs, RL, graph methods, etc).

Personally, you are

• A strong problem solver who thrives on ambiguity and complexity.
• Team-oriented, enjoying close collaboration in small, fast-moving groups.
• Curious, motivated, and hungry to learn.
• Passionate about making a real impact for patients.

Join us in this exciting role, where your contributions will directly advance our understanding of human biology and accelerate the discovery of transformative medicines. The patient is waiting.

Relation is a committed equal opportunities employer.